Schizophrenia is a severe disabling brain disease affecting about 1% of the world s population. Due to the dynamic nature of the peripheral blood transcriptome, understanding miRNAs gene expression signature in schizophrenia is a promising tool for discovery of disease-related biomarkers and biological pathways involved. This study aimed to identify specific miRNA signature characteristic for schizophrenia by using genome-wide miRNA expression profiling in patients with schizophrenia vs. healthy controls. In the current study, we examined miRNA gene expression changes applying cust m made LC Science miRNA expression profiling service, by using pooled whole blood-derived total RNA samples in order to evaluate possible miRNAs molecules associated with the disease. Here, we report experimental proof for a differentially down expressed miR-320a, miR- 320b, miR-320d and miR-320c members. To elucidate the biological pathways implicated in schizophrenia, additionally we searched for the validated target genes of miR-320 gene family that might play a role in the regulation of schizophrenia susceptibility genes using miRWalk database. This analysis revealed experimentally validated targets with specific function in nervous system and development including RCOR1, AGO1, REST, and EZH2. Finally, our results suggested that differentially expressed miR-320 family members might be involved in schizophrenia molecular pathways.